NumPy Getting Started

NumPy Getting Started

NumPy is a Python library used for working with arrays, numbers, and mathematical operations. Before NumPy Getting Started, you must install and import it.

 1. Installing NumPy

Using pip:

Using conda:

If NumPy is already installed, Python will recognize it during import.

 2. Importing NumPy

The standard way to import NumPy is:

Using np is a shortcut so you don’t type numpy every time.

 3. Creating Your First NumPy Array

Output:

 4. Checking NumPy Version

 5. NumPy Arrays vs Python Lists

Python list:

NumPy array:

NumPy arrays are:

• Faster
•  Require less memory
• Allow vectorized arithmetic operations

Example:

Output:

(You cannot do this easily with normal Python lists.)

 6. Creating Different Types of Arrays

 Array of zeros

Output:

 Array of ones

Output:

Generate sequence (like Python range())

Output:

Generate evenly spaced values

Output:

7. Checking Array Attributes

Summary